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ORCIDDaeHun Nyang
- > Home > Persons > DaeHun Nyang
Publications
- 2023
[i28]Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina, Rhongho Jang, Songqing Chen, DaeHun Nyang, David Mohaisen
:
Measuring and Modeling the Free Content Web. CoRR abs/2304.14359 (2023)- 2022
- [j48]Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammed Abuhamad, An Wang, Daehun Nyang, Amro Awad, David Mohaisen:
ShellCore: Automating Malicious IoT Software Detection Using Shell Commands Representation. IEEE Internet Things J. 9(4): 2485-2496 (2022) - [j46]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3432-3447 (2022) - [c59]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, DaeHun Nyang, David Mohaisen:
Systematically Evaluating the Robustness of ML-based IoT Malware Detection Systems. RAID 2022: 308-320 - 2021
- [j42]Mohammed Abuhamad, Ahmed Abusnaina, Daehun Nyang, David Mohaisen:
Sensor-Based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey. IEEE Internet Things J. 8(1): 65-84 (2021) - [c58]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, Rhongho Jang, DaeHun Nyang, David Mohaisen:
Systemically Evaluating the Robustness of ML-based IoT Malware Detectors. DSN (Supplements) 2021: 3-4 - [c56]Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen:
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. WWW (Companion Volume) 2021: 508-515 - [i23]Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Daehun Nyang, David Mohaisen:
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube. CoRR abs/2103.09050 (2021) - [i21]Hisham Alasmary, Afsah Anwar, Ahmed Abusnaina, Abdulrahman Alabduljabbar, Mohammad Abuhamad, An Wang, DaeHun Nyang, Amro Awad, David Mohaisen:
ShellCore: Automating Malicious IoT Software Detection by Using Shell Commands Representation. CoRR abs/2103.14221 (2021) - [i20]Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen:
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. CoRR abs/2108.13373 (2021) - 2020
- [j37]Jinchun Choi, Mohammed Abuhamad, Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Jeman Park, Daehun Nyang, David Mohaisen:
Understanding the Proxy Ecosystem: A Comparative Analysis of Residential and Open Proxies on the Internet. IEEE Access 8: 111368-111380 (2020) - [c55]Sultan Alshamrani, Ahmed Abusnaina, Mohammed Abuhamad, Anho Lee, DaeHun Nyang, David Mohaisen:
An Analysis of Users Engagement on Twitter During the COVID-19 Pandemic: Topical Trends and Sentiments. CSoNet 2020: 73-86 - [c54]Hisham Alasmary, Ahmed Abusnaina, Rhongho Jang, Mohammed Abuhamad, Afsah Anwar, DaeHun Nyang, David Mohaisen:
Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. ICDCS 2020: 888-898 - [c52]Ahmed Abusnaina, Rhongho Jang, Aminollah Khormali, DaeHun Nyang, David Mohaisen:
DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting. INFOCOM 2020: 2459-2468 - [c51]Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, David Mohaisen:
From Blue-Sky to Practical Adversarial Learning. TPS-ISA 2020: 118-127 - [c50]Ahmed Abusnaina, Mohammed Abuhamad, DaeHun Nyang, Songqing Chen, An Wang, David Mohaisen:
Insights into Attacks' Progression: Prediction of Spatio-Temporal Behavior of DDoS Attacks. WISA 2020: 362-374 - [i18]Mohammed Abuhamad, Ahmed Abusnaina, DaeHun Nyang, David Mohaisen:
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey. CoRR abs/2001.08578 (2020) - [i16]Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen:
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification. CoRR abs/2005.07145 (2020) - 2019
- [j26]Hisham Alasmary, Aminollah Khormali, Afsah Anwar, Jeman Park, Jinchun Choi, Ahmed Abusnaina, Amro Awad, DaeHun Nyang, Aziz Mohaisen:
Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach. IEEE Internet Things J. 6(5): 8977-8988 (2019) - [c49]Ahmed Abusnaina, DaeHun Nyang, Murat Yuksel, Aziz Mohaisen:
Examining the Security of DDoS Detection Systems in Software Defined Networks. CoNEXT Companion 2019: 49-50 - [c48]Ahmed Abusnaina, Hisham Alasmary, Mohammed Abuhamad, Saeed Salem, DaeHun Nyang, Aziz Mohaisen:
Subgraph-Based Adversarial Examples Against Graph-Based IoT Malware Detection Systems. CSoNet 2019: 268-281 - [c47]Ahmed Abusnaina, Aminollah Khormali, DaeHun Nyang, Murat Yuksel, Aziz Mohaisen:
Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks. DSC 2019: 1-8 - [c46]Jinchun Choi, Ahmed Abusnaina, Afsah Anwar, An Wang, Songqing Chen, DaeHun Nyang, Aziz Mohaisen:
Honor among Thieves: Towards Understanding the Dynamics and Interdependencies in IoT Botnets. DSC 2019: 1-8 - [i9]Aminollah Khormali, Ahmed Abusnaina, Songqing Chen, DaeHun Nyang, Aziz Mohaisen:
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection. CoRR abs/1909.09735 (2019)
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